University of Manitoba: U of M - Faculty of Arts - Psychology - Faculty

Dr. Randall Jamieson, Professor

ajpg

Education

  • Doctor of Philosophy (Queen's, 2005)
  • Levels I/II Certification in High Performance Computing (HPCVL, 2001/2004)
  • Master of Arts (Queen's, 2001)
  • Bachelor of Arts (York, 1999)

Professional Experience

  • Professor (Manitoba, 2017)
  • Adjunct Professor of Psychology (UBC, 2015)
  • Associate Professor (Manitoba, 2011)
  • Assistant Professor (Manitoba, 2007)
  • NSERC Postdoctoral Fellow (McMaster, 2005)

Selected Publications

  • Aujla, H., Jamieson, R. K, & Cook, M. T. (in press). A psychologically inspired search engine. In Lecture Notes in Computer Science: High Performance Computing Systems and Applications. Springer Berlin Heidelberg.
  • Curtis, E. T., & Jamieson, R. K. (in press). Computational and empirical simulations of selective memory impairments: Converging evidence for a single-system account of memory dissociations. Quarterly Journal of Experimental Psychology
  • Jamieson, R. K., Avery, J. E., Johns, B. T., & Jones, M. N. (2018). An instance theory of semantic memory. Computational Brain and Behavior, 2, 119-136.
  • Jamieson, R. K., Mewhort, D. J. K., & Hockley, W. E. (2016). A computational account of the production effect: Still playing twenty questions with nature. Canadian Journal of Experimental Psychology, 70, 154-164.
  • Jamieson, R. K., Crump, M. J. C., & Hannah, S. D. (2012). An instance theory of associative learning. Learning & Behavior, 40, 61-82.
  • Jamieson, R. K., & Mewhort, D. J. K. (2009). Applying an exemplar model to the serial reaction time task: Anticipating from experience. Quarterly Journal of Experimental Psychology, 62, 1757-1783.

Course Information

  • Psychology 7310: Psychocinematics
  • Psychology 7310: Computational Psychology
  • Psychology 7310: Memory Disorders
  • Psychology 7210: Quantitative Methods in Psychology 2
  • Psychology 7200: Quantitative Methods in Psychology 1
  • Psychology 3580: Language and Thought
  • Psychology 3390: Thinking
  • Psychology 3340: Design and Analysis for Psychological Experiments
  • Psychology 2480: Cognitive Processes

Funding

National Sciences and Engineering Research Council of Canada (NSERC)

Research

I conduct computational and experimental examinations of how people learn, remember, think, and know. I am particularly interested in the problems of implicit learning, associative learning, memory, and language. My theoretical goal is to develop a coherent and general account of learning and memory. My applied goal is to leverage those theoretical discoveries to advance cognitive computing.